期刊
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
卷 15, 期 -, 页码 8870-8883出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2022.3214069
关键词
Backscatter; Oils; Sea ice; Synthetic aperture radar; Arctic; Image segmentation; Remote sensing; Arctic; Barents sea; newly formed sea ice; oil spills; remote sensing; Sentinel-1; synthetic aperture radar (SAR)
类别
资金
- CIRFA partners
- Research Council of Norway (RCN) [237906, 280616]
Low backscatter signatures in SAR imagery can be used to monitor phenomena such as sea ice and oil spills. This study proposes a detection method using Sentinel-1 SAR imagery and demonstrates its potential for large-scale operational monitoring in the Barents Sea.
Low backscatter signatures in synthetic aperture radar (SAR) imagery are characteristic to surfaces that are highly smooth and specular reflective of microwave radiation. In the Arctic, these typically represent newly formed sea ice, oil spills, and localized weather phenomena such as low wind or rain cells. The operational monitoring of low backscatter targets can benefit from a stronger integration of freely available SAR imagery from Sentinel-1. We, therefore, propose a detection method applicable to Sentinel-1 extra wide-swath (EW) SAR scenes. Using intensity values coupled with incidence angle and noise-equivalent sigma zero (NESZ) information, the image segmentation method is able to detect the low backscatter targets as one segment across subswaths. We use the Barents Sea as a test site due to the abundant presence of low backscatter targets with different origins, and of long-term operational monitoring services that help cross-validate our observations. Utilizing a large set of scenes acquired in the Barents Sea during the freezing season (November-April), we demonstrate the potential of performing large-scale operational monitoring of local phenomena with low backscatter signatures.
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